Sales wastes its best hours on leads that were never going to buy. This automation scores every new row in your Sheet the moment it arrives.
sonnet4 daysGoogle Sheets APIOpenAIClearbitSlack
Claude
79ROI
85Scale
$2.4k93Saved
ROI for
README.md
Why this subagent
Sales wastes its best hours on leads that were never going to buy. This automation scores every new row in your Sheet the moment it arrives.
It enriches the contact, grades fit against your ideal profile, and writes a tier with a short reason. Reps see the hot leads first and a Slack ping fires for every top match.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Enrich the row with company size and industry where a work email is present.
pending
Score the lead against your fit criteria and write a tier of A, B, or C.
pending
Update the row with the score and reason, then ping sales in Slack for any A lead.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Score the lead A, B, or C against the given ICP and return JSON with the tier and a one-sentence reason.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.